Triple
T5812142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Open Cup 2014 |
E128893
|
entity |
| Predicate | numberOfMLSClubs |
P63958
|
FINISHED |
| Object | 16 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 16 | Statement: [U.S. Open Cup 2014, numberOfMLSClubs, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMLSClubs Context triple: [U.S. Open Cup 2014, numberOfMLSClubs, 16]
-
A.
originalMLSClub
Indicates the Major League Soccer club with which an entity (typically a player) was first officially associated or began their MLS career.
-
B.
sportNumberOfClubs
Indicates the number of clubs or teams an entity is associated with in a sports context.
-
C.
numberOfPDLClubsEntered
Indicates the count of PDL clubs that an entity has entered or participated in.
-
D.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
E.
numberOfMajorLeagueSoccerTeams
chosen
Indicates the total count of Major League Soccer teams associated with a given entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b54c2848190bb85212689d0b511 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.